Traditional odd lot trades (i.e., involving fewer than 100 shares) now comprise over half of all equity on U.S. exchanges. Under Regulation National Market System, however, these are excluded from a market center’s trade execution statistics. In addition, while brokers required to consider quotes as part their duty best execution, formally the calculation national bid and offer. This Article, w...

In this paper, an inventory model for two-stage supply chain is investigated. A supply chain with single vendor and single buyer is considered. We assume that shortage as a backorder is allowed for the buyer and the vendor makes the production set up every time the buyer places an order and supplies on a lot for lot basis. With these assumptions, the joint economic lot size model is introduced ...

This paper develops and analyzes several customer order acceptance policies to achieve high bottleneck utilization for the customized stochastic lot scheduling problem (CSLSP) with large setups and strict order due dates. To compare the policies simulation is used as main tool, due to the complicated nature of the problem. Also approximate upper and lower bound for the utilization are provided....

Lot-size problems has drawn a great deal of attention in OR/Operations Management research literature. In their purest form, lot-size problems focus on the trade-off between set-up and inventory costs in generalized production environments. Single item lot-size problems are successfully treated through specialized Dynamic Programming algorithms [10, 12], while multi item problems prove harder t...

This paper describes the development of a process simulation model and integration of the genetic algorithms (GA) with the model as optimisation techniques using a case study of lot sizing problem (LSP) in make-to-order (MTO) supply chain solved by a combined simulation and genetic algorithm (GA) optimisation model. The simulation model is performed using ARENA software. GA model is implemented...